• DocumentCode
    2260101
  • Title

    FPGA architecture comparison for non-conventional signal processing

  • Author

    Franco, D. ; Carro, Luigi

  • Author_Institution
    Inst. de Inf., Univ. Federal do Rio Grande do Sul, Porto Alegre
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    55
  • Abstract
    In the design of a specific application requiring scalar processing and a neural network, it was noticed that the same underlying hardware used to process analog signals could be used as another way to implement neural networks. This paper presents the main ideas behind this design approach, and a comparison in terms of area and processing speeds of both solutions, when using an FPGA as a substrate
  • Keywords
    digital filters; digital signal processing chips; field programmable gate arrays; neural chips; neural net architecture; FPGA architecture; neural network; nonconventional signal processing; scalar processing; Adaptive filters; Artificial neural networks; Digital filters; Digital signal processing; Field programmable gate arrays; Finite impulse response filter; Microprocessors; Neural networks; Signal design; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.857874
  • Filename
    857874
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2260101